Map your team's lifecycle

Run the lifecycle assessment to read where your team sits in the build process.

Lifecycle measures how your team ships, not what you’ve shipped. Six stages, 36 tasks, 8 operations-stack categories. Run it once at onboarding to baseline; re-run after a major ship or quarterly.

Map your team’s lifecycle

As an IC, you want to read where your team sits in the build process so you can pick the next practice to adopt and avoid skipping a stage you’ll pay for later.

What the lifecycle assessment reads

Where the URL score reads the product, the lifecycle assessment reads your team’s build process. It tracks progress through 6 stages and 36 tasks.

The 6 lifecycle stages

1. Specify and constrain

   Define the problem with the right constraints. What can the system actually solve? What are the guardrails? What does “good enough” look like when outputs are probabilistic?

2. Build system of context

   Assemble the knowledge layer the system needs to perform: data pipelines, embeddings, retrieval, prompt engineering, context window discipline.

3. Orchestrate and generate

   Wire up models, agents, and pipelines. Model selection, chaining, tool use, orchestration architecture.

4. Validate, eval, and craft

   Test quality at the speed of inference. Traditional QA doesn’t work for probabilistic outputs. This stage runs on eval frameworks, human review loops, and quality benchmarks.

5. Ship and manage economics

   Deploy and manage inference cost. Variable cost structures (tokens, GPU time) need active management.

6. Learn and compound

   Close the feedback loop. Usage data flows back into model improvement, creating the flywheel that separates Compounding teams from Scaling teams.

Run your assessment

1. Open the Lifecycle tab

   Pick a product from your dashboard, open the Lifecycle tab.

2. Work through each stage

   For each of the 36 tasks, mark your team’s status: not started, in progress, or done.

3. Read your operations stack

   We also read your tooling across 8 categories: context and knowledge, model and inference, orchestration, eval and quality, deployment, economics, observability, and feedback.

4. Read your placement

   We compute completion per stage and surface where your team sits on the lifecycle.

Stages aren’t strictly sequential. Most teams work several at once. But skipping a stage outright (especially Context and Eval) creates compounding problems that are expensive to fix later.

Three cross-cutting reads

These forces span all 6 stages and shape every decision.

Token economics

The cost of every interaction. Where traditional software has marginal cost approaching zero, capability-rich products have real per-request cost. Managing token economics is a continuous discipline, not a one-time optimization.

Role fluidity

Modern teams blur traditional role boundaries. Engineers write prompts. Designers evaluate model outputs. PMs manage token budgets. The lifecycle read tracks how well your team has adapted.

Cognitive debt

The capability equivalent of technical debt. Shipping without proper evaluation, monitoring, or feedback loops accumulates cognitive debt: models that drift, prompts that break, outputs that degrade quietly.

Using the results

Your lifecycle report shows progress through each stage.

• Done stages have mature practice. Maintain them.
• Partial stages have some practice but gaps remain. These are your highest-leverage investments.
• Not started stages are areas your team hasn’t addressed. Prioritize them if they block downstream stages.

Common patterns

Pattern	What it means	The move
Strong Specify, weak Eval	Your team defines problems well but ships without quality gates	Invest in eval frameworks and human review loops
Strong Orchestrate, weak Compound	You build fast but don’t learn from usage	Close the feedback loop with analytics and model retraining
Gaps in Context	Capability lacks the knowledge layer to perform	Prioritize RAG, embeddings, or context management
Weak Economics	Inference costs are unmanaged	Establish token budgets and cost tracking before scaling

How lifecycle complements maturity

The URL score reads your product’s maturity. The lifecycle assessment reads your team’s build process. Together they surface the full picture.

• High maturity, low lifecycle: product is ahead of process. Sustainability risk.
• Low maturity, high lifecycle: process is mature but hasn’t yet produced results. Patience and execution.
• Both high: aligned and compounding. Team, process, and product all reinforcing each other.

What’s next

Coach on gaps

Ask DAC to build an improvement plan for your weakest stages.

Run a quick assessment

Complement lifecycle with a URL-based maturity score.

Run the full diagnostic

For leaders who want the cross-framework read.

Wire up adapters

Connected tools provide ground-truth signal that lifts both reads.